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test.tar
data/folder/file.html Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。 data/file.txt Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。raw.githubusercontent.com/codelibs/fess-testdata/master/archive/test.tar -
test.tar.gz
test.tar data/folder/file.html Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。...raw.githubusercontent.com/codelibs/fess-testdata/master/archive/test.tar.gz -
plot_hgbt_regression.py
import train_test_split X_train, X_test, y_train, y_test = train_test_split(X,...train_test_split(X, y, test_size=0.4, shuffle=False) print(f"Training...scikit-learn.org/stable/_downloads/d108f2283ac3905eb623b32d42217a2b/plot_hgbt_regression.py -
feed.xml
import { test, expect } from "@playwright/test"; test("homepage...import { test, expect } from "@playwright/test"; test("homepage...www.elastic.co/observability-labs/rss/feed.xml -
plot_multi_metric_evaluation.py
1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...etc...) The ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
plot_release_highlights_1_5_0.py
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...imator(classifier_05, X_test, y_test) # %% # Lowering the threshold,...scikit-learn.org/stable/_downloads/ba0cfc16d7953e1c2c6912b6beca1e91/plot_release_highlights_1_5_0.py -
pydata-sphinx-theme.js
test(e)&&o.test(e),n=(e,t,n)=>{u(n);const.../i.test(e.key)?document.activeElement===t&&/Escape/i.test(e....scikit-learn.org/dev/_static/scripts/pydata-sphinx-theme.js -
plot_multi_metric_evaluation.ipynb
1)[0][0]\n best_score = results[\"mean_test_%s\" % scorer][best_index]\n\n...etc...)\n\nThe ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation.... -
feed.xml
"text_chunk": { "type": "text" //the text from which...below to test the NVIDIA key required for the rest of the application....www.elastic.co/search-labs/rss/feed.xml -
plot_classifier_comparison.py
and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py